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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/all-mpnet-base-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: Hub-Report-1705947362 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Hub-Report-1705947362 |
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1734 |
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- F1: 0.7779 |
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- Roc Auc: 0.8689 |
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- Accuracy: 0.7658 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 13 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 297 | 0.2953 | 0.0397 | 0.5100 | 0.0203 | |
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| 0.3539 | 2.0 | 594 | 0.2267 | 0.5719 | 0.7107 | 0.4329 | |
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| 0.3539 | 3.0 | 891 | 0.1932 | 0.7410 | 0.8216 | 0.6608 | |
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| 0.2053 | 4.0 | 1188 | 0.1851 | 0.7363 | 0.8289 | 0.6823 | |
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| 0.2053 | 5.0 | 1485 | 0.1759 | 0.7659 | 0.8560 | 0.7392 | |
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| 0.1532 | 6.0 | 1782 | 0.1725 | 0.7756 | 0.8670 | 0.7633 | |
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| 0.1178 | 7.0 | 2079 | 0.1734 | 0.7779 | 0.8689 | 0.7658 | |
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| 0.1178 | 8.0 | 2376 | 0.1802 | 0.7587 | 0.8580 | 0.7481 | |
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| 0.0964 | 9.0 | 2673 | 0.1828 | 0.7669 | 0.8649 | 0.7595 | |
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| 0.0964 | 10.0 | 2970 | 0.1835 | 0.7625 | 0.8617 | 0.7532 | |
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| 0.083 | 11.0 | 3267 | 0.1849 | 0.7681 | 0.8646 | 0.7595 | |
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| 0.0723 | 12.0 | 3564 | 0.1886 | 0.7604 | 0.8603 | 0.7519 | |
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| 0.0723 | 13.0 | 3861 | 0.1901 | 0.7606 | 0.8599 | 0.7494 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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